Staff Data Scientist

🕒 September 23

🇺🇸 United States – Remote

💵 $171.4k - $201.8k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Boulevard

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

Boulevard is a leading client experience platform designed for appointment-based, self-care businesses such as medspas, salons, spas, barbershops, and nail salons. With a focus on enhancing customer engagement and business efficiency, Boulevard offers a comprehensive suite of solutions including self-booking, client profiles, loyalty programs, payment systems, and marketing tools. The platform supports over 30,000 self-care professionals by streamlining scheduling, reports, and point-of-sale operations. Boulevard aims to elevate the self-care experience through innovative technology, empowering practitioners and delighting clients alike.

📋 Description

• Build Boulevard’s product data foundation by defining data capture requirements, designing data models, and developing a scalable analytics technology stack with data engineering • Develop data-driven recommendations with Product through narratives, data storytelling, and audience-appropriate visualizations • Build scalable self-serve dashboards and enable stakeholders to independently explore and interpret data • Operationalize product analytics and connect it to OKRs and business outcomes • Own exploratory and deep-dive analyses of customer and product behavior, including funnels, retention, cohorts, and feature adoption • Bridge product data and the broader organization to influence cross-functional decisions and outcomes • Create scalable team processes and analytical workflows that ensure data accuracy • Own Product Development experimentation, including test design, analysis, impact readouts, experimentation standards, templates, and tooling workflows • Design quasi-experimental analyses when clean A/B tests are not possible • Apply statistical and machine learning methods to model customer behavior, adoption, retention, churn, segmentation, activation, and causal drivers • Productionize models with data engineering, including scheduling, monitoring, versioning, drift management, retraining, and retirement • Partner with Product, Engineering, data engineering, and executive stakeholders to shape product strategy and roadmap investment

🎯 Requirements

• 8+ years of proven experience in data science, product analytics, or engineering in a B2B SaaS or high-growth technology environment • Meaningful experience in early-stage or low-data-maturity environments • Fluency with SQL, Python/Jupyter notebooks, Snowflake, DBT, Sigma, and AWS infrastructure • Strong proficiency with data modeling • Experience designing and executing product instrumentation strategies, including event schemas and tracking plans • Expertise building dashboards and visualizations with Sigma, Looker, Tableau, or similar • Significant experience working directly with product managers and leaders • Experience with funnel diagnostics, cohort and retention modeling, and behavioral segmentation • Deep statistical and machine learning expertise, including regression, classification, propensity and churn-risk modeling, clustering, survival and time-to-value analysis • Proven end-to-end experimentation experience, including hypothesis, metrics, randomization, power, duration, and analysis • Hands-on experience with Statsig, Optimizely, or similar experimentation platforms • Causal-inference experience when clean A/B testing is not possible • Ability to build and own production-grade DBT data pipelines, transformations, orchestration, tests, documentation, and version control • Clear, confident communication with stakeholders at all levels • Ability to manage projects end-to-end, identify opportunities, navigate ambiguity, and build scalable processes • Proven cross-functional partnership and ability to influence leadership decisions using product data • Experience with Amplitude, Mixpanel, or similar product analytics tools preferred

🏖️ Benefits

• Competitive base pay • Performance bonus eligibility • Equity participation for all full-time employees • Comprehensive medical coverage with up to 100% employee premium coverage and 75% dependent coverage • Annual $1,200 HSA employer contribution for eligible plans • 100% covered dental, vision, life, and disability insurance • 12 weeks of fully paid U.S. parental leave • Flexible paid time off • 10 U.S. company holidays • Fully remote work • $200 home office setup allowance • $50 monthly WFH reimbursement • $200 quarterly Boulevard Bucks for well-being and industry connection • One Medical membership • Employee Assistance Program • Equal opportunity and inclusive workplace commitment